Gladys Morrison
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Dermatology top 10%
- Chemotherapy-related skin toxicity
Papers in
- Oncology 6
- Cancer Treatment and Pharmacology 3
- HER2/EGFR in Cancer Research 2
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Co-authors
- M. Eileen Dolan (2 shared papers)Jamie R. Brewer (1 shared paper)Gini F. Fleming (1 shared paper)Rachel Schiff (2 shared papers)Xiaoyong Fu (2 shared papers)C. Kent Osborne (2 shared papers)Mothaffar F. Rimawi (2 shared papers)Yen-Chao Wang (1 shared paper)
- Journals
- Oncotarget (2 papers)Cancers (1 paper)Stem Cell Research (1 paper)Breast Cancer Research and Treatment (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Gladys Morrison
10 papers receiving 557 citations
Peers
Comparison fields: 5 of 69
- Oncology 371
- Dermatology 50
- Cancer Research 81
- Radiology, Nuclear Medicine and Imaging 100
- Genetics 43
Countries citing papers authored by Gladys Morrison
This map shows the geographic impact of Gladys Morrison's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gladys Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys Morrison more than expected).
Fields of papers citing papers by Gladys Morrison
This network shows the impact of papers produced by Gladys Morrison. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gladys Morrison. The network helps show where Gladys Morrison may publish in the future.
Co-authors
The 25 scholars most cited alongside Gladys Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 213 | |
| 2 | 2015 | 199 | |
| 3 | 2017 | 88 | |
| 4 | 2014 | 39 | |
| 5 | 2021 | 10 | |
| 6 | 2015 | 10 | |
| 7 | 2019 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2016 | 2 | |
| 10 | 2017 | 1 |
About Gladys Morrison
Gladys Morrison is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 10 papers that have together received 570 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Pain Mechanisms and Treatments (2 papers), HER2/EGFR in Cancer Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Gene expression and cancer classification (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (371 citations), Dermatology (50 citations), Cancer Research (81 citations), Radiology, Nuclear Medicine and Imaging (100 citations) and Genetics (43 citations). Gladys Morrison has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include M. Eileen Dolan, Jamie R. Brewer, Gini F. Fleming, Rachel Schiff, Xiaoyong Fu, C. Kent Osborne, Mothaffar F. Rimawi, Yen-Chao Wang, Jun Guo and Gary C. Chamness. Their work appears in journals such as Oncotarget, Cancers, Stem Cell Research, Breast Cancer Research and Treatment and Genome Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.